What are the hardware requirements for Llama 3 Typhoon V1.5 8B Instruct?

Llama 3 Typhoon V1.5 8B Instruct requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Typhoon V1.5 8B Instruct and how large is it?

Llama 3 Typhoon V1.5 8B Instruct is developed by scb10x, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 Typhoon V1.5 8B Instruct perform on standard benchmarks?

Llama 3 Typhoon V1.5 8B Instruct has the following published scores: MMLU 64.46. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 Typhoon V1.5 8B Instruct by scb10x — VRAM 16.1GB, 8K context

Name: Llama 3 Typhoon V1.5 8B Instruct
Author: scb10x

Llama 3 Typhoon V1.5 8B Instruct is an open-source language model by scb10x. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.17, Arc: 60.4, HellaSwag: 80.8, MMLU: 64.5, GSM8K: 57.2.

Arxiv:2312.13951 Chat Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow Th

Model Card on HF 🤗: https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct

Llama 3 Typhoon V1.5 8B Instruct Parameters and Internals

Model Type

instruct, decoder-only

Use Cases

Areas:

research, commercial applications

Primary Use Cases:

instructional

Limitations:

may produce answers that are inaccurate, biased, or otherwise objectionable

Considerations:

We recommend that developers assess these risks in the context of their use case.

Additional Notes

This model is still undergoing development and incorporates some level of guardrails.

Supported Languages

languages_supported (.), languages_proficiency (.), languages_metrics_tags (.), languages_not_supported (.)

Input Output

Input Format:

Using llama3 chat-template.

Accepted Modalities:

text

Output Format:

Decoded response text

LLM Name	Llama 3 Typhoon V1.5 8B Instruct
Repository 🤗	https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-01-02
Maintainer	scb10x
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en th
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Typhoon V1.5 8B Instruct capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama 3 Typhoon V1.5 8B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than scb10x/llama-3-typhoon-v1.5-8b-instruct.